![]() Code blocks that define individual elements of a time stamp.The datetime.xml file has the following parts: ![]() If the software can't process the timestamps in your event data, you can configure Splunk Enterprise to extract the timestamps by making a custom version of the datetime.xml file. When you configure timestamp recognition with the nf file, Splunk Enterprise uses the datetime.xml file to configure its timestamp processor and extract timestamps out of the events for the source, source type, or host information in your data. The nf configuration file is responsible for most timestamp configuration changes. In most cases, you do not need to make changes to the datetime.xml timestamp recognition file on Splunk Enterprise instances. On Splunk Enterprise, consider using the nf configuration file to configure timestamp recognition Configure the file, if necessary, on a universal or heavy forwarder on the machine that contains the data that you want to send to Splunk Cloud Platform. Instead, consider whether or not you need to modify the file at all. It is not possible to modify the file on a Splunk Cloud Platform instance directly. If you need to modify this file on a Splunk Cloud Platform instance, file a support ticket. In those cases where you do make modifications to the file, you must take care in ensuring the its structure remains intact and that there are no typos, as this can cause significant problems with timestamp recognition. In nearly all cases, you do not need to make modifications to the datetime.xml file. The file contains regular expressions that describe how the Splunk platform is to perform those extractions from the raw event data. The Splunk platform uses the datetime.xml timestamp recognition file to extract dates and timestamps from events as it indexes them. The effect of this setting is that Splunk Enterprise assumes that each path name contains unique content.Configure advanced timestamp recognition with datetime.xml , ensures that each file has a unique CRC. Each stanza that you include should include the full path to the log file, the source type for that log file as defined in the "Data types" table, and the crcSalt attribute set to Add monitor stanzas for each log file that you want to monitor. Create an nf file in $SPLUNK_HOME/etc/apps/Splunk_TA_oracle/local.Ĥ. The table in the Source types for the Splunk Add-on for Oracle Database topic provides both the default locations and location queries in case the location has changed.ģ. Determine the location of each log file you want to monitor, if it differs from the default location. See the Source types for the Splunk Add-on for Oracle Database topic for a detailed listing of the log files and their corresponding Splunk source types.Ģ. Decide which Oracle log files in which kind of format (XML or plain text) you want the Splunk Add-on for Oracle Database to monitor. ![]() If you do not want to collect database events, do not include any of the DB Connect-dependent input stanzas in your local/nf, or you will see errors on startup.ġ. See Configure Splunk DB Connect v3.8.0 inputs for the Splunk Add-on for Oracle Database for information about configuring inputs for logs based on database entries. Note that these instructions do not apply for logs based on database entries. Set up monitor stanzas in a local nf file to configure inputs for the following Oracle Database Server log files: These instructions assume that your forwarders (or single instance Splunk Enterprise) are installed directly on your Oracle Database Servers. Configure monitor inputs for the Splunk Add-on for Oracle Database
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